Q91636 AF NFT

Kinesin-like protein KIF2C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihtegtx6alxqissnx5bqg4lolwleyxvpog2oyq35g425ax2n4qwfm/metadata.json
IPFS of structure file: 
bafybeihttzp75rjl52tlg5g7isblt5b3yxmv5uwygxomk62cysgu7puvye/AF-Q91636-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x16DAa6a077550712A5E3955F590a002aC60F6B0D
First NFT owner address (bech32): 
genesis1zmd2dgrh25r39f0rj404jzsq9trq76cdjd3jal
Current NFT ID #203291 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
203291
Accession (UniProt):
Q91636
Name::
Kinesin-like protein KIF2C
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q91636 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q91636|KIF2C_XENLA Kinesin-like protein KIF2C OS=Xenopus laevis OX=8355 GN=kif2c PE=1 SV=2 MERLVATRLVTGLAVKIMRSNGVIHNANITSVNMDRSSVNVEWKEGEANKGKEISFADVISVNPELLDAVLAPTNVKENMPPQRNVSSQNHKRKTISKIPAPKEVAAKNSLLSESGAQSVLRERSTRMTAIHETLPYENEMEAESTPLPIQQNSVQARSRSTKVSIAEEPRLQTRISEIVEESLPSGRNNQGRRKSNIVKEMEKMKNKREEQRAQNYERRMKRAQDYDTSVPNWEFGKMIKEFRATMDCHRISMADPAEEHRICVCVRKRPLNKQELSKKEIDIISVPSKNIVLVHEPKLKVDLTKYLENQAFRFDFSFDETATNEVVYRFTARPLVQSIFEGGKATCFAYGQTGSGKTHTMGGDFSGKSQNVSKGVYAFASRDVFLLLDQPRYKHLDLDVFVTFFEIYNGKVFDLLNKKTKLRVLEDAKQEVQVVGLLEKQVISADDVFKMIEIGSACRTSGQTFANTSSSRSHACLQIILRRGSKLHGKFSLVDLAGNERGVDTASADRITRMEGAEINRSLLALKECIRALGQNKSHTPFRESKLTQILRDSFIGENSRTCMIAMLSPGFNSCEYTLNTLRYADRVKELSPQNAETNDDNLQMEDSGGSHASIEGLQLQDDFLLKDEELSTHNSFQDALNRVGELEDKAVDELRELVQKEPEWTNLLQMTEQPDYDLENFVMQAEYLIQERSKVLIALGDSINSLRLALQVEEQASKQISKKKRSNK